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Middle East Artificial Intelligence in Retail Market By Component (Solution, Services); By Business Function (Marketing & Sales, Human Resources, Finance & Accounting, Operations, Cybersecurity); By Technology (Machine Learning, Natural Language Processing, Chatbots, Image and Video Analytics, Swarm Intelligence); By Sales Channel (Omnichannel, Brick and Mortar) – Growth, Share, Opportunities & Competitive Analysis, 2024 – 2032

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Published: | Report ID: 72898 | Report Format : PDF
REPORT ATTRIBUTE DETAILS
Historical Period 2019-2022
Base Year 2023
Forecast Period 2024-2032
Middle East Artificial Intelligence in Retail Market Size 2023 USD 200.08 million
Middle East Artificial Intelligence in Retail Market, CAGR 28.04%
Middle East Artificial Intelligence in Retail Market Size 2032 USD 1,445.09 million

Market Overview

The Middle East Artificial Intelligence in Retail market is projected to grow from USD 200.08 million in 2024 to USD 1,445.09 million by 2032, at a remarkable CAGR of 28.04% during the forecast period.

The growth of Artificial Intelligence (AI) in the Middle East retail market is driven by the rising adoption of AI-powered technologies to enhance customer experiences, optimize inventory management, and improve operational efficiency. Retailers increasingly leverage AI for personalized marketing, demand forecasting, and automated customer support, fueling market expansion. The region’s rapid digital transformation, supported by government initiatives and significant investments in smart technologies, further propels AI adoption in retail. Additionally, the growing e-commerce sector and the integration of AI with advanced analytics and IoT devices are reshaping the retail landscape. Trends such as the use of AI-driven chatbots, virtual shopping assistants, and dynamic pricing strategies highlight the sector’s innovative approach. Retailers are also prioritizing AI-based visual recognition tools and sentiment analysis to offer customized solutions, creating a competitive edge in the market. These factors collectively underscore the robust growth potential of AI in the Middle East retail sector.

The Middle East Artificial Intelligence in Retail market is witnessing significant growth across various regions, with key players driving innovation and adoption. In the UAE and Saudi Arabia, major technology companies like Microsoft, IBM, and Amazon are partnering with local retailers to implement AI solutions for customer personalization, inventory management, and operational efficiency. Israel, known for its AI innovation, is home to startups such as Syte and Shopic, which focus on AI-powered visual recognition and personalized shopping experiences. Additionally, global firms like Accenture and Capgemini play a crucial role in helping retail businesses integrate advanced AI technologies. In Turkey, local and international players are expanding AI applications to optimize e-commerce and retail operations. As the demand for AI solutions increases, the collaborative efforts of these companies are shaping the future of AI in retail across the Middle East.

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Market Insights

  • The Middle East Artificial Intelligence in Retail market is expected to grow from USD 200.08 million in 2024 to USD 1,445.09 million by 2032, with a CAGR of 28.04%.
  • Rising adoption of AI-powered technologies is enhancing customer experience, optimizing operations, and driving market growth.
  • The e-commerce boom and integration of AI for personalized marketing and automation are key market trends.
  • Retailers are increasingly using AI-driven solutions like chatbots, predictive analytics, and dynamic pricing strategies to stay competitive.
  • High implementation costs and data privacy concerns remain significant market restraints for AI adoption in retail.
  • The UAE and Saudi Arabia lead the market, with increasing investments in AI and government support for digital transformation.
  • Companies like Microsoft, Amazon, IBM, and Accenture are key players driving innovation and adoption of AI solutions in the region.

Market Drivers

Rising Adoption of AI-Powered Customer Experience Enhancements

The Middle East retail sector is rapidly embracing AI-powered solutions to elevate customer experiences. For instance, Majid Al Futtaim has implemented the Omega conversational AI platform in its Carrefour and VOX Cinemas stores, allowing customers to purchase cinema tickets and groceries using an AI voice assistant. Retailers leverage AI technologies such as chatbots, virtual assistants, and recommendation engines to deliver personalized shopping experiences tailored to individual preferences. AI-driven sentiment analysis and predictive analytics allow businesses to anticipate customer needs and improve satisfaction, thereby fostering brand loyalty. As customer-centric strategies become increasingly vital, the integration of AI to enhance user engagement and satisfaction has emerged as a key growth driver for the market.

Increasing Focus on Operational Efficiency and Cost Optimization

Retailers in the Middle East are turning to AI to streamline operations and achieve cost efficiency. For example, the Kingdom of Saudi Arabia is making significant investments in AI to optimize inventory management and enhance operational efficiency as part of its Vision 2030 initiative. AI-powered inventory management systems enable real-time tracking and forecasting, reducing the risk of overstocking or stockouts. Moreover, AI-driven automation in logistics, supply chain management, and workforce planning significantly enhances efficiency while minimizing operational costs. This focus on operational excellence, combined with the region’s ongoing digital transformation, is accelerating the adoption of AI in retail operations.

Supportive Government Initiatives and Investments in AI

Governments in the Middle East are actively promoting AI adoption across industries, including retail, through strategic initiatives and funding. For example, the UAE and Saudi Arabia have launched ambitious AI strategies and are investing heavily in AI-driven projects to foster innovation. These efforts, coupled with partnerships between governments and private entities, are creating a conducive environment for AI adoption in the retail sector. This supportive ecosystem is expected to significantly contribute to the market’s growth trajectory in the coming years.

Expanding E-Commerce Sector and Advanced Analytics Integration

The booming e-commerce sector in the Middle East is driving the demand for AI technologies in retail. Online retailers utilize AI for personalized marketing campaigns, dynamic pricing, and fraud detection to enhance their competitive edge. The integration of AI with advanced analytics and Internet of Things (IoT) devices enables data-driven decision-making, improving overall business performance. As consumers increasingly shift toward online shopping, AI adoption among e-commerce players is set to rise, further bolstering market growth.

Market Trends

Rising Adoption of AI-Driven Visual and Voice Recognition Technologies

The adoption of AI-based visual and voice recognition technologies is reshaping the Middle East retail landscape. For example, Sephora Middle East uses AI-powered visual recognition tools to enable virtual try-ons, allowing customers to see how products will look on them before making a purchase. Visual recognition tools are enabling seamless self-checkout experiences, accurate inventory tracking, and enhanced security measures in physical stores. Meanwhile, voice recognition technologies integrated into virtual assistants and smart devices are streamlining the shopping experience by enabling hands-free searches, product recommendations, and order placements. These technologies not only improve operational efficiency but also enhance customer convenience, making them pivotal to modern retail strategies.

Growing Implementation of AI-Powered Personalization

Retailers in the Middle East are increasingly utilizing AI to deliver personalized shopping experiences, marking a significant trend in the industry. By analyzing customer data such as purchase history, browsing behavior, and preferences, AI-driven algorithms recommend tailored products and services. Advanced personalization strategies, including dynamic content and customized marketing campaigns, are enhancing customer engagement and retention. This trend is gaining traction across both physical and online retail channels as businesses aim to offer unique, customer-centric experiences.

Increased Integration of AI with IoT and Advanced Analytics

The convergence of AI, IoT, and advanced analytics is emerging as a transformative trend in the Middle East retail market. IoT-enabled devices provide real-time data on inventory levels, store traffic, and customer behavior, while AI processes this data to derive actionable insights. This integration facilitates efficient supply chain management, improved demand forecasting, and targeted marketing efforts. Retailers leveraging these interconnected technologies are better equipped to optimize operations and deliver value-driven solutions, reinforcing their competitive edge.

Focus on AI-Enhanced Fraud Detection and Cybersecurity

As digital transformation accelerates, retailers in the Middle East are prioritizing AI-powered fraud detection and cybersecurity solutions. AI technologies analyze transaction patterns to detect anomalies, mitigating risks associated with fraudulent activities. Additionally, machine learning algorithms identify potential cybersecurity threats, ensuring data protection and compliance with regulatory standards. This focus on robust security measures is becoming essential as online retail expands, fostering consumer trust and safeguarding business integrity in the competitive retail landscape.

Market Challenges Analysis

High Implementation Costs and Limited Access to Skilled Workforce

One of the significant challenges faced by the Middle East AI in retail market is the high cost associated with implementing AI technologies. Advanced AI solutions often require substantial investments in infrastructure, software, and hardware, making them inaccessible to small and medium-sized retailers. Additionally, the ongoing maintenance and updates required for AI systems further strain financial resources. Another critical hurdle is the limited availability of skilled professionals with expertise in AI and data analytics. The shortage of trained personnel capable of managing and optimizing AI systems delays adoption and reduces the efficiency of implementation, particularly for retailers in emerging markets within the region.

Data Privacy Concerns and Resistance to Change

Data privacy and security concerns pose another challenge for the adoption of AI in the Middle East retail sector. For example, a survey by Gulf Business Machines found that 31% of organizations in the region prioritize data privacy as their top concern amid AI adoption. With AI systems heavily reliant on customer data, there is growing apprehension about data breaches and misuse, leading to hesitancy among consumers and retailers. Stricter data protection regulations across the region require businesses to invest in compliance measures, adding to operational complexities. Furthermore, cultural and organizational resistance to change remains a barrier to AI adoption. Many traditional retailers are hesitant to transition from conventional methods to AI-driven solutions due to concerns over costs, complexity, and workforce adaptation. Overcoming these challenges requires focused efforts in training, awareness, and building trust in AI technologies.

Market Opportunities

Expansion of E-Commerce and Omni-Channel Retail Strategies

The rapid growth of e-commerce in the Middle East presents significant opportunities for AI adoption in the retail sector. With an increasing number of consumers shifting toward online shopping, retailers are leveraging AI to enhance personalized marketing, optimize pricing strategies, and streamline logistics. Additionally, the integration of AI-powered chatbots and virtual assistants enables seamless customer interactions, improving satisfaction and retention. The rise of omni-channel retail strategies, combining physical and online shopping experiences, further amplifies the need for AI technologies to provide consistent and customized experiences across all touchpoints. This trend opens avenues for retailers to harness AI-driven insights to stay competitive and capture a larger market share.

Supportive Government Policies and Technological Advancements

Government initiatives promoting digital transformation and AI adoption across the Middle East create a conducive environment for the growth of AI in retail. Countries like the UAE and Saudi Arabia are investing heavily in AI research, innovation hubs, and infrastructure development, encouraging businesses to integrate advanced technologies. Additionally, advancements in AI capabilities, such as real-time data processing and predictive analytics, enable retailers to enhance operational efficiency and customer experiences. The growing collaboration between technology providers and retail businesses further accelerates AI integration. These factors collectively highlight a promising landscape for expanding AI adoption, offering substantial opportunities for retailers to innovate and thrive in a competitive market.

Market Segmentation Analysis:

By Component:

The Middle East Artificial Intelligence in Retail market is segmented into solutions and services, each playing a pivotal role in the sector’s growth. AI solutions encompass a wide range of technologies, including predictive analytics, chatbots, and recommendation engines, enabling retailers to deliver personalized customer experiences, optimize inventory, and enhance operational efficiency. These solutions are increasingly being integrated into both e-commerce platforms and physical retail stores to improve decision-making and drive sales. Meanwhile, services such as consulting, implementation, and support are gaining prominence as retailers seek expert guidance to adopt and optimize AI technologies. The growing complexity of AI systems and the need for seamless integration have fueled the demand for professional services, making this segment a critical enabler of AI adoption in the retail industry.

By Business Function:

AI adoption in the Middle East retail sector is transforming various business functions, including marketing and sales, operations, and cybersecurity. Marketing and sales benefit significantly from AI-driven personalization, targeted campaigns, and customer engagement tools. In operations, AI technologies streamline supply chain management, demand forecasting, and workforce optimization, enhancing efficiency and reducing costs. Cybersecurity is another vital area where AI is employed to detect and prevent fraud, ensuring data protection and regulatory compliance. Additionally, human resources and finance functions leverage AI for talent management, payroll automation, and financial planning. This segmentation highlights the versatility of AI in driving innovation and operational excellence across retail functions.

Segments:

Based on Component:

  • Solution
  • Services

Based on Business Function:

  • Marketing & Sales
  • Human Resources
  • Finance & Accounting
  • Operations
  • Cybersecurity

Based on Technology:

  • Machine Learning
  • Natural Language Processing
  • Chatbots
  • Image and Video Analytics
  • Swarm Intelligence

Based on Sales Channel:

  • Omnichannel
  • Brick and Mortar

Based on the Geography:

  • UAE
  • KSA
  • Israel
  • Turkey
  • Iran
  • Rest of Middle East

Regional Analysis

UAE

The UAE holds the largest market share in the Middle East Artificial Intelligence in Retail market, accounting for over 35% in 2024. The country’s advanced digital infrastructure, coupled with government initiatives like the UAE AI Strategy 2031, has positioned it as a leader in AI adoption. Retailers in the UAE leverage AI technologies to enhance customer experiences, optimize supply chains, and improve operational efficiency. The rapid expansion of e-commerce platforms and the widespread use of AI-powered tools such as chatbots, virtual assistants, and predictive analytics have driven growth in the region. Additionally, partnerships between retail companies and global technology providers are accelerating AI deployment, further strengthening the UAE’s dominance in the regional market.

KSA

Saudi Arabia ranks second in the Middle East AI in Retail market, with a market share of approximately 28% in 2024. The Kingdom’s Vision 2030 initiative emphasizes technological innovation and digital transformation across industries, including retail. AI adoption in the retail sector is fueled by investments in smart city projects like NEOM and the development of AI-driven e-commerce platforms. Retailers in Saudi Arabia are focusing on AI-enabled personalization, real-time inventory management, and automation to meet evolving consumer demands. Moreover, the government’s focus on fostering AI research and development, alongside financial support for local businesses, has created a conducive environment for AI-driven retail innovations.

Israel

Israel has emerged as a key player in the Middle East Artificial Intelligence in Retail market, contributing significantly to the region’s technological advancements. With a market share of over 15% in 2024, Israel is leveraging its reputation as a global hub for AI innovation and startups. Retailers in Israel benefit from cutting-edge AI solutions, such as machine learning algorithms, computer vision, and natural language processing, to enhance customer experiences and streamline operations. The country’s robust ecosystem of AI-focused startups and research institutions fosters innovation, enabling retailers to stay ahead in the competitive market. Additionally, Israel’s strong collaboration between academia, industry, and government has positioned it as a leader in AI-driven retail transformations.

Turkey

Turkey accounts for around 12% of the Middle East AI in Retail market share in 2024, driven by its growing e-commerce sector and increasing investment in digital transformation. Retailers in Turkey are integrating AI technologies to improve customer engagement, optimize inventory management, and enhance supply chain efficiency. The adoption of AI-powered tools, such as recommendation engines and dynamic pricing systems, is helping businesses cater to a tech-savvy consumer base. Furthermore, government initiatives to support AI research and innovation, coupled with a growing number of partnerships between Turkish retailers and global technology providers, are boosting AI adoption across the country’s retail landscape.

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Key Player Analysis

  • Shopic
  • Syte
  • Capgemini
  • Microsoft Corporation
  • IBM Corporation
  • Google LLC
  • Amazon
  • Salesforce
  • Accenture
  • TCS
  • Infosys
  • Company 12
  • Company 13
  • Company 14
  • Others

Competitive Analysis

The competitive landscape of the Middle East Artificial Intelligence in Retail market is shaped by global and regional players, each contributing to the adoption and integration of AI technologies in retail operations. Leading players in the market include Microsoft Corporation, IBM Corporation, Amazon, Accenture, Capgemini, Google LLC, Salesforce, TCS, Infosys, Syte, Shopic, and several others. For instance, Majid Al Futtaim has implemented the Omega conversational AI platform in its Carrefour and VOX Cinemas stores, allowing customers to purchase cinema tickets and groceries using an AI voice assistant. These companies offer a wide range of AI-powered solutions, from customer personalization and predictive analytics to inventory management and supply chain optimization. These companies are differentiating themselves by offering customized solutions that meet the diverse needs of retail businesses, from personalized marketing and targeted promotions to efficient inventory management and supply chain optimization. As the market grows, there is a strong focus on partnerships and collaborations, as retailers and AI solution providers work together to integrate AI seamlessly into the retail ecosystem. With significant investments in AI research and development, companies are continuously innovating to stay ahead of the competition. Furthermore, regional players are focusing on localization of AI solutions to address the unique needs and challenges of the Middle East retail market, further intensifying the competitive environment. This combination of technological advancements, tailored offerings, and strategic partnerships is shaping the future of the AI-driven retail landscape in the Middle East.

Recent Developments

  • In January 2025, NVIDIA announced the NVIDIA AI Blueprint for retail shopping assistants, designed to transform shopping experiences both online and in stores. This blueprint helps developers create AI-powered digital assistants that can deliver personalized shopping experiences, drive higher conversion rates, and lower product return rates.
  • In April 2024, Oracle introduced new AI capabilities within Oracle Fusion Cloud Customer Experience (CX) to help marketers, sellers, and service agents accelerate deal cycles. These capabilities automate time-consuming tasks and enable more precise targeting, engagement, and service of buyers.
  • In January 2024, Microsoft unveiled new generative AI and data solutions at NRF 2024 to transform shopping experiences. These solutions span the retail shopper journey, from personalized shopping experiences to empowering store associates and unifying retail data.
  • In January 2024, Salesforce announced new data and AI-powered tools at NRF 2024 to transform shopping experiences. These tools, powered by the Einstein 1 Platform, include AI content creation, digital storefronts, and shopper insights to enhance customer interactions, increase loyalty, and drive revenue.
  • In January 2024, IBM reported at NRF 2024 that generative AI can bridge the consumer expectation gap by creating unified, integrated shopping experiences. The study showed dissatisfaction with current retail experiences and emphasized the role of AI in meeting consumer demands.

Market Concentration & Characteristics

The Middle East Artificial Intelligence in Retail market exhibits a moderate to high level of concentration, with both global tech giants and regional players competing for market share. Large multinational corporations, with their extensive resources and advanced AI technologies, dominate the market, offering comprehensive solutions that address a wide range of retail needs, from customer personalization to supply chain optimization. However, the market also sees the rise of specialized regional startups and SMEs that focus on niche AI applications, such as visual recognition and customer sentiment analysis, catering to the unique demands of local retailers.

The characteristics of the market are shaped by rapid technological advancements, with continuous innovation driving competition. AI solutions in the retail sector are becoming increasingly tailored to meet the diverse requirements of the Middle East’s varied retail landscape, including both online and offline channels. There is a growing emphasis on AI’s role in enhancing customer experiences, improving operational efficiency, and optimizing marketing efforts. Additionally, the market is marked by a collaborative environment, with retailers partnering with AI solution providers to integrate advanced technologies seamlessly into their operations. This blend of large, established players and agile, niche-focused companies results in a competitive and rapidly evolving market, fueling the widespread adoption of AI in the retail sector across the region.

Report Coverage

The research report offers an in-depth analysis based on Component, Business Function, Technology, Sales Channel and Geography. It details leading market players, providing an overview of their business, product offerings, investments, revenue streams, and key applications. Additionally, the report includes insights into the competitive environment, SWOT analysis, current market trends, as well as the primary drivers and constraints. Furthermore, it discusses various factors that have driven market expansion in recent years. The report also explores market dynamics, regulatory scenarios, and technological advancements that are shaping the industry. It assesses the impact of external factors and global economic changes on market growth. Lastly, it provides strategic recommendations for new entrants and established companies to navigate the complexities of the market.

Future Outlook

  1. The Middle East Artificial Intelligence in Retail market is expected to continue growing at a strong pace, driven by increasing adoption of AI technologies across retail operations.
  2. E-commerce growth will further accelerate the demand for AI-powered personalization and automation tools in the retail sector.
  3. AI-driven customer experience enhancements, such as personalized recommendations and chatbots, will become more prevalent in both online and offline stores.
  4. Retailers will increasingly leverage AI for optimizing inventory management, supply chain operations, and demand forecasting.
  5. The expansion of smart cities and digital transformation initiatives in the region will create more opportunities for AI integration in retail.
  6. Governments in the UAE, Saudi Arabia, and other Middle Eastern countries will continue to invest in AI innovation, further fueling market growth.
  7. The use of AI for fraud detection and cybersecurity will gain more importance as retailers prioritize data security and regulatory compliance.
  8. Collaboration between global AI solution providers and regional retailers will intensify, fostering rapid AI adoption.
  9. The rise of AI-powered visual search and image recognition technologies will transform product discovery and shopping experiences.
  10. As AI technology becomes more affordable, small and medium-sized retailers in the region will increasingly adopt AI solutions to compete in the market.

.CHAPTER NO. 1 : INTRODUCTION 19

1.1.1. Report Description 19

Purpose of the Report 19

USP & Key Offerings 19

1.1.2. Key Benefits for Stakeholders 19

1.1.3. Target Audience 20

1.1.4. Report Scope 20

CHAPTER NO. 2 : EXECUTIVE SUMMARY 21

2.1. Artificial Intelligence in Retail Market Snapshot 21

2.1.1. Middle East Artificial Intelligence in Retail Market, 2018 – 2032 (USD Million) 22

CHAPTER NO. 3 : GEOPOLITICAL CRISIS IMPACT ANALYSIS 23

3.1. Russia-Ukraine and Israel-Palestine War Impacts 23

CHAPTER NO. 4 : ARTIFICIAL INTELLIGENCE IN RETAIL MARKET – INDUSTRY ANALYSIS 24

4.1. Introduction 24

4.2. Market Drivers 25

4.2.1. Driving Factor 1 Analysis 25

4.2.2. Driving Factor 2 Analysis 26

4.3. Market Restraints 27

4.3.1. Restraining Factor Analysis 27

4.4. Market Opportunities 28

4.4.1. Market Opportunity Analysis 28

4.5. Porter’s Five Force analysis 29

4.6. Value Chain Analysis 30

4.7. Buying Criteria 31

CHAPTER NO. 5 : ANALYSIS COMPETITIVE LANDSCAPE 32

5.1. Company Market Share Analysis – 2023 32

5.1.1. Middle East Artificial Intelligence in Retail Market: Company Market Share, by Revenue, 2023 32

5.1.2. Middle East Artificial Intelligence in Retail Market: Top 6 Company Market Share, by Revenue, 2023 32

5.1.3. Middle East Artificial Intelligence in Retail Market: Top 3 Company Market Share, by Revenue, 2023 33

5.2. Middle East Artificial Intelligence in Retail Market Company Revenue Market Share, 2023 34

5.3. Company Assessment Metrics, 2023 35

5.3.1. Stars 35

5.3.2. Emerging Leaders 35

5.3.3. Pervasive Players 35

5.3.4. Participants 35

5.4. Start-ups /Brick and Mortar Assessment Metrics, 2023 35

5.4.1. Progressive Companies 35

5.4.2. Responsive Companies 35

5.4.3. Dynamic Companies 35

5.4.4. Starting Blocks 35

5.5. Strategic Developments 36

5.5.1. Acquisitions & Mergers 36

New Product Launch 36

Regional Expansion 36

5.6. Key Players Product Matrix 37

CHAPTER NO. 6 : PESTEL & ADJACENT MARKET ANALYSIS 38

6.1. PESTEL 38

6.1.1. Political Factors 38

6.1.2. Economic Factors 38

6.1.3. Social Factors 38

6.1.4. Technological Factors 38

6.1.5. Environmental Factors 38

6.1.6. Legal Factors 38

6.2. Adjacent Market Analysis 38

CHAPTER NO. 7 : ARTIFICIAL INTELLIGENCE IN RETAIL MARKET – BY COMPONENT SEGMENT ANALYSIS 39

7.1. Artificial Intelligence in Retail Market Overview, by Component Segment 39

7.1.1. Artificial Intelligence in Retail Market Revenue Share, By Component, 2023 & 2032 40

7.1.2. Artificial Intelligence in Retail Market Attractiveness Analysis, By Component 41

7.1.3. Incremental Revenue Growth Opportunity, by Component, 2024 – 2032 41

7.1.4. Artificial Intelligence in Retail Market Revenue, By Component, 2018, 2023, 2027 & 2032 42

7.2. Solution 43

7.3. Services 44

CHAPTER NO. 8 : ARTIFICIAL INTELLIGENCE IN RETAIL MARKET – BY BUSINESS FUNCTION SEGMENT ANALYSIS 45

8.1. Artificial Intelligence in Retail Market Overview, by Business Function Segment 45

8.1.1. Artificial Intelligence in Retail Market Revenue Share, By Business Function, 2023 & 2032 46

8.1.2. Artificial Intelligence in Retail Market Attractiveness Analysis, By Business Function 47

8.1.3. Incremental Revenue Growth Opportunity, by Business Function, 2024 – 2032 47

8.1.4. Artificial Intelligence in Retail Market Revenue, By Business Function, 2018, 2023, 2027 & 2032 48

8.2. Marketing & Sales 49

8.3. Human Resources 50

8.4. Finance & Accounting 51

8.5. Operations 52

8.6. Cybersecurity 53

CHAPTER NO. 9 : ARTIFICIAL INTELLIGENCE IN RETAIL MARKET – BY TECHNOLOGY SEGMENT ANALYSIS 54

9.1. Artificial Intelligence in Retail Market Overview, by Technology Segment 54

9.1.1. Artificial Intelligence in Retail Market Revenue Share, By Technology, 2023 & 2032 55

9.1.2. Artificial Intelligence in Retail Market Attractiveness Analysis, By Technology 56

9.1.3. Incremental Revenue Growth Opportunity, by Technology, 2024 – 2032 56

9.1.4. Artificial Intelligence in Retail Market Revenue, By Technology, 2018, 2023, 2027 & 2032 57

9.2. Machine Learning 58

9.3. Natural Language Processing 59

9.4. Chatbots 60

9.5. Image and Video Analytics 61

9.6. Swarm Intelligence 62

CHAPTER NO. 10 : ARTIFICIAL INTELLIGENCE IN RETAIL MARKET – BY SALES CHANNEL SEGMENT ANALYSIS 63

10.1. Artificial Intelligence in Retail Market Overview, by Sales Channel Segment 63

10.1.1. Artificial Intelligence in Retail Market Revenue Share, By Sales Channel, 2023 & 2032 64

10.1.2. Artificial Intelligence in Retail Market Attractiveness Analysis, By Sales Channel 65

10.1.3. Incremental Revenue Growth Opportunity, by Sales Channel, 2024 – 2032 65

10.1.4. Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2018, 2023, 2027 & 2032 66

10.2. Omnichannel 67

10.3. Brick and Mortar 68

10.4. Brick and Mortar 69

CHAPTER NO. 11 : ARTIFICIAL INTELLIGENCE IN RETAIL MARKET – MIDDLE EAST 70

11.1. Middle East 70

11.1.1. Key Highlights 70

11.1.2. Middle East Artificial Intelligence in Retail Market Revenue, By Country, 2018 – 2023 (USD Million) 71

11.2. Component 72

11.3. Middle East Artificial Intelligence in Retail Market Revenue, By Component, 2018 – 2023 (USD Million) 72

11.4. Middle East Artificial Intelligence in Retail Market Revenue, By Component, 2024 – 2032 (USD Million) 72

11.5. Business Function 73

11.6. Middle East Artificial Intelligence in Retail Market Revenue, By Business Function, 2018 – 2023 (USD Million) 73

11.6.1. Middle East Artificial Intelligence in Retail Market Revenue, By Business Function, 2024 – 2032 (USD Million) 73

11.7. Technology 74

11.8. Middle East Artificial Intelligence in Retail Market Revenue, By Technology, 2018 – 2023 (USD Million) 74

11.8.1. Middle East Artificial Intelligence in Retail Market Revenue, By Technology, 2024 – 2032 (USD Million) 74

11.9. Sales Channel 75

11.9.1. Middle East Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2018 – 2023 (USD Million) 75

11.9.2. Middle East Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2024 – 2032 (USD Million) 75

11.10. Brazil 76

11.11. Argentina 76

11.12. Peru 76

11.13. Chile 76

11.14. Colombia 76

11.15. Rest of Middle East 76

CHAPTER NO. 12 : COMPANY PROFILES 77

12.1. Shopic 77

12.1.1. Company Overview 77

12.1.2. Product Portfolio 77

12.1.3. Swot Analysis 77

12.1.4. Business Strategy 78

12.1.5. Financial Overview 78

12.2. Syte 79

12.3. Capgemini 79

12.4. Microsoft Corporation 79

12.5. IBM Corporation 79

12.6. Google LLC 79

12.7. Amazon 79

12.8. Salesforce 79

12.9. Accenture 79

12.10. TCS 79

12.11. Infosys 79

12.12. Company 12 79

12.13. Company 13 79

12.14. Company 14 79

12.15. Others 79

 

List of Figures

FIG NO. 1. Middle East Artificial Intelligence in Retail Market Revenue, 2018 – 2032 (USD Million) 22

FIG NO. 2. Porter’s Five Forces Analysis for Middle East Artificial Intelligence in Retail Market 29

FIG NO. 3. Value Chain Analysis for Middle East Artificial Intelligence in Retail Market 30

FIG NO. 4. Company Share Analysis, 2023 32

FIG NO. 5. Company Share Analysis, 2023 32

FIG NO. 6. Company Share Analysis, 2023 33

FIG NO. 7. Artificial Intelligence in Retail Market – Company Revenue Market Share, 2023 34

FIG NO. 8. Artificial Intelligence in Retail Market Revenue Share, By Component, 2023 & 2032 40

FIG NO. 9. Market Attractiveness Analysis, By Component 41

FIG NO. 10. Incremental Revenue Growth Opportunity by Component, 2024 – 2032 41

FIG NO. 11. Artificial Intelligence in Retail Market Revenue, By Component, 2018, 2023, 2027 & 2032 42

FIG NO. 12. Middle East Artificial Intelligence in Retail Market for Solution, Revenue (USD Million) 2018 – 2032 43

FIG NO. 13. Middle East Artificial Intelligence in Retail Market for Services, Revenue (USD Million) 2018 – 2032 44

FIG NO. 14. Artificial Intelligence in Retail Market Revenue Share, By Business Function, 2023 & 2032 46

FIG NO. 15. Market Attractiveness Analysis, By Business Function 47

FIG NO. 16. Incremental Revenue Growth Opportunity by Business Function, 2024 – 2032 47

FIG NO. 17. Artificial Intelligence in Retail Market Revenue, By Business Function, 2018, 2023, 2027 & 2032 48

FIG NO. 18. Middle East Artificial Intelligence in Retail Market for Marketing & Sales, Revenue (USD Million) 2018 – 2032 49

FIG NO. 19. Middle East Artificial Intelligence in Retail Market for Human Resources, Revenue (USD Million) 2018 – 2032 50

FIG NO. 20. Middle East Artificial Intelligence in Retail Market for Finance & Accounting, Revenue (USD Million) 2018 – 2032 51

FIG NO. 21. Middle East Artificial Intelligence in Retail Market for Operations, Revenue (USD Million) 2018 – 2032 52

FIG NO. 22. Middle East Artificial Intelligence in Retail Market for Cybersecurity, Revenue (USD Million) 2018 – 2032 53

FIG NO. 23. Artificial Intelligence in Retail Market Revenue Share, By Technology, 2023 & 2032 55

FIG NO. 24. Market Attractiveness Analysis, By Technology 56

FIG NO. 25. Incremental Revenue Growth Opportunity by Technology, 2024 – 2032 56

FIG NO. 26. Artificial Intelligence in Retail Market Revenue, By Technology, 2018, 2023, 2027 & 2032 57

FIG NO. 27. Middle East Artificial Intelligence in Retail Market for Machine Learning, Revenue (USD Million) 2018 – 2032 58

FIG NO. 28. Middle East Artificial Intelligence in Retail Market for Natural Language Processing, Revenue (USD Million) 2018 – 2032 59

FIG NO. 29. Middle East Artificial Intelligence in Retail Market for Chatbots, Revenue (USD Million) 2018 – 2032 60

FIG NO. 30. Middle East Artificial Intelligence in Retail Market for Image and Video Analytics, Revenue (USD Million) 2018 – 2032 61

FIG NO. 31. Middle East Artificial Intelligence in Retail Market for Swarm Intelligence, Revenue (USD Million) 2018 – 2032 62

FIG NO. 32. Artificial Intelligence in Retail Market Revenue Share, By Sales Channel, 2023 & 2032 64

FIG NO. 33. Market Attractiveness Analysis, By Sales Channel 65

FIG NO. 34. Incremental Revenue Growth Opportunity by Sales Channel, 2024 – 2032 65

FIG NO. 35. Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2018, 2023, 2027 & 2032 66

FIG NO. 36. Middle East Artificial Intelligence in Retail Market for Omnichannel, Revenue (USD Million) 2018 – 2032 67

FIG NO. 37. Middle East Artificial Intelligence in Retail Market for Brick and Mortar, Revenue (USD Million) 2018 – 2032 68

FIG NO. 38. Middle East Artificial Intelligence in Retail Market for Pure-play Online Retailers, Revenue (USD Million) 2018 – 2032 69

FIG NO. 39. Middle East Artificial Intelligence in Retail Market Revenue, 2018 – 2032 (USD Million) 70

List of Tables

TABLE NO. 1. : Middle East Artificial Intelligence in Retail Market: Snapshot 21

TABLE NO. 2. : Drivers for the Artificial Intelligence in Retail Market: Impact Analysis 25

TABLE NO. 3. : Restraints for the Artificial Intelligence in Retail Market: Impact Analysis 27

TABLE NO. 4. : Middle East Artificial Intelligence in Retail Market Revenue, By Country, 2018 – 2023 (USD Million) 71

TABLE NO. 5. : Middle East Artificial Intelligence in Retail Market Revenue, By Country, 2024 – 2032 (USD Million) 71

TABLE NO. 6. : Middle East Artificial Intelligence in Retail Market Revenue, By Component, 2018 – 2023 (USD Million) 72

TABLE NO. 7. : Middle East Artificial Intelligence in Retail Market Revenue, By Component, 2024 – 2032 (USD Million) 72

TABLE NO. 8. : Middle East Artificial Intelligence in Retail Market Revenue, By Business Function, 2018 – 2023 (USD Million) 73

TABLE NO. 9. : Middle East Artificial Intelligence in Retail Market Revenue, By Business Function, 2024 – 2032 (USD Million) 73

TABLE NO. 10. : Middle East Artificial Intelligence in Retail Market Revenue, By Technology, 2018 – 2023 (USD Million) 74

TABLE NO. 11. : Middle East Artificial Intelligence in Retail Market Revenue, By Technology, 2024 – 2032 (USD Million) 74

TABLE NO. 12. : Middle East Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2018 – 2023 (USD Million) 75

TABLE NO. 13. : Middle East Artificial Intelligence in Retail Market Revenue, By Sales Channel, 2024 – 2032 (USD Million) 75

 

Frequently Asked Questions

What is the current size of the Middle East Artificial Intelligence in Retail market?

The Middle East Artificial Intelligence in Retail market is projected to grow from USD 200.08 million in 2024 to USD 1,445.09 million by 2032, reflecting a remarkable CAGR of 28.04% during the forecast period.

What factors are driving the growth of the Middle East Artificial Intelligence in Retail market?

What factors are driving the growth of the Middle East Artificial Intelligence in Retail market?The market is driven by the adoption of AI-powered technologies to enhance customer experiences, optimize inventory management, and improve operational efficiency. The rise of e-commerce, government initiatives supporting digital transformation, and the integration of AI with IoT and advanced analytics are also key drivers. AI tools like chatbots, virtual assistants, and predictive analytics further fuel growth by enabling personalized marketing and demand forecasting.

What are the key segments within the Middle East Artificial Intelligence in Retail market?

The market is segmented by components (solutions and services), business functions (marketing & sales, operations, human resources, finance & accounting, and cybersecurity), technologies (machine learning, natural language processing, chatbots, image and video analytics, and swarm intelligence), and sales channels (omnichannel and brick-and-mortar). Regionally, the UAE, Saudi Arabia, Israel, Turkey, and Iran are major contributors.

What are some challenges faced by the Middle East Artificial Intelligence in Retail market?

Challenges include high implementation costs, which can be a barrier for small and medium-sized retailers, and a lack of skilled professionals to manage AI systems. Data privacy concerns, due to the reliance on customer data and stringent regional regulations, also pose significant challenges. Additionally, cultural resistance to adopting new technologies may slow down AI implementation in some areas.

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